Hands–On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud

Key FeaturesLeverage IoT, AI/ML, and cloud technologies to unlock industrial potential and drive business innovationWork with labs on real-world edge computing scenarios, integrating AWS, Azure, and open source toolsUse diagnostic and predictive analytics to develop digital twins, improve industrial processes, and manage assetsBook Description
In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks.
Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms.
By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.
What you will learnGet a solid understanding of industrial processes, devices, and protocolsHarness IoT technology to effectively manage industrial use casesDesign and implement an IIoT network flow to continuously monitor the performance of your critical assetsGet to grips with popular cloud-based platforms such as AWS and AzureExplore Edge devices and learn about Edge and fog computing to gather field dataApply diagnostic analytics to real-world data to answer critical workforce questionsDevelop AIoT technology for predictive maintenanceWho this book is for
If you are an IoT architect, developer, AI engineer, or stakeholder involved in designing the architecture systems of the Industrial Internet of Things, this book is for you. The only prerequisite needed is a solid understanding of the Python programming language and networking concepts.
Table of ContentsIntroduction to Industrial IOTUnderstanding the Industrial Process and DevicesIndustrial Data Flow and DevicesImplementing the Industrial IoT Data FlowApplying CybersecurityPerforming an Exercise Based on Industrial Protocols and StandardsDeveloping Industrial IoT and ArchitectureImplementing a Custom Industrial IoT PlatformBuilding an AWS Industrial IOT SolutionImplementing an Industrial IOT Data Flow with AWSPerforming a Practical Industrial IoT Solution with AzureImplementing an Industrial IoT Data Flow with AzurePerforming Diagnostic, Maintenance, and Predictive AnalyticsImplementing a Digital Twin - Advanced AnalyticsDeploying an Analytics Model